MPS Project

Topics

• Architect and deliver solutions to authentic client problems by synthesizing Information Science competencies including machine learning, data processing, visualization, and user experience design.
• Deepen domain expertise in specialized areas such as UX Research, NLP, Machine Learning, or Data Science through experiential, discovery-based learning.
• Elicit, negotiate, and validate requirements through structured client engagement, balancing stakeholder needs with technical feasibility.
• Present technical solutions persuasively to diverse audiences, translating complex concepts into accessible narratives for non-technical stakeholders.
• Justify design and technical decisions with evidence-based reasoning while executing critical project management processes from planning through delivery.
• Navigate team-based collaboration including role negotiation, constructive conflict resolution, and distributed accountability across multidisciplinary groups.
• Evaluate ethical implications of technical decisions, particularly regarding data privacy, algorithmic bias, and responsible AI practices, and incorporate these considerations into solution design.
• Produce professional documentation sufficient for client adoption, future maintenance, and knowledge transfer.
• Manage complex project workflows using industry-standard tools and practices, including milestone tracking, dependency management, and structured status reporting.

Official roster learning outcomes